Find 1 public EV charging locations in Molalla, Oregon — 0 DC fast charging sites and 1 Level 2 stations. Profitability scores, networks, and site analytics.
Molalla, Oregon is served by 1 public electric vehicle charging locations operating 1 individual chargers — an average of 1.0 chargers per site. Of those locations, 0 (0%) offer DC fast charging suitable for road-trip stops and short-dwell sessions, while 1 (100%) provide Level 2 charging for longer dwell times such as workplace, retail and overnight parking.
The largest charging network in Molalla is Blink Network with 1 locations. Average DC fast power across the city is approximately 0 kW, which puts most fast-charging stalls in the modern 150 kW–350 kW class capable of delivering a meaningful state-of-charge top-up in 15–30 minutes for a typical EV.
EV Data Map scores every potential charging site in the United States from 0 to 100 for profitability, combining EV ownership density, daytime population, traffic, demographics, nearby competing chargers, dwell-time characteristics of surrounding land use, and grid capacity. Use the analyzer below to enter any address in Molalla and receive an instant profitability score, demand projection, and recommended charger configuration.
DC fast share: 0% of locations. Level 2 share: 100%. Average chargers per site: 1.0. Average DC fast power: 0 kW.
The following operators run public charging in Molalla, ranked by number of locations.
A selection of higher-power public charging locations across Molalla, sorted by power level.
Every score on EV Data Map blends location demand, competition and operating economics into a single 0–100 number. Demand is modeled from registered EV count, commute and through-traffic patterns, daytime worker population, retail and hospitality footprint, and tourism inflows. Competition uses the count and quality of nearby existing chargers — including DC fast power, network reliability and dwell-fit. Operating economics include estimated electricity tariffs, demand-charge exposure, expected utilization, and capital cost for the recommended hardware mix.
For Molalla specifically, our model accounts for local commute corridors, nearby interstate and US-highway traffic, the existing footprint of 0 DC fast and 1 Level 2 sites, and the typical dwell profile of the surrounding land use. The result is a per-address score plus a recommended configuration — number of stalls, target power level and network — that maximises projected revenue.